Performance of Termite-hill routing algorithm on sink mobility in wireless sensor networks

Adamu Murtala Zungeru, Li Minn Ang, Kah Phooi Seng

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    11 Citations (Scopus)

    Abstract

    High efficient and energy-aware routing is an important issue for the design of resource constrained environments like Wireless Sensor Networks (WSNs). Many protocols have been developed for WSN that try to overcome the constraints that characterized this type of networks. Termite based routing protocols can add a significant contribution to assist in the maximization of the network lifetime without performance degradation. But this is only possible by means of an adaptable and balanced algorithm that takes into account the main constraints of WSN. This paper presents a biological inspired self-organized routing protocol for WSN which is based on termite colony optimization metaheuristic termed Termite-hill. The main objective of the proposed algorithm is to efficiently relay all the traffic destined for the sink, and also balance the network energy. The results of our extensive experiments on Routing Modeling Application Simulation Environment (RMASE) demonstrated that with sink mobility, our proposed routing algorithm was able to balance the network traffic load and prolong the network lifetime without performance degradation.

    Original languageEnglish
    Title of host publicationAdvances in Swarm Intelligence - Third International Conference, ICSI 2012, Proceedings
    Pages334-343
    Number of pages10
    Volume7332 LNCS
    EditionPART 2
    DOIs
    Publication statusPublished - 2012
    Event3rd International Conference on Swarm Intelligence, ICSI 2012 - Shenzhen, China
    Duration: Jun 17 2012Jun 20 2012

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 2
    Volume7332 LNCS
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other3rd International Conference on Swarm Intelligence, ICSI 2012
    CountryChina
    CityShenzhen
    Period6/17/126/20/12

    Fingerprint

    Routing algorithms
    Routing Algorithm
    Wireless Sensor Networks
    Wireless sensor networks
    Network Lifetime
    Routing Protocol
    Routing protocols
    Degradation
    Routing
    Network Traffic
    Simulation Environment
    Energy
    Metaheuristics
    Relay
    Traffic
    Network protocols
    Resources
    Optimization
    Modeling
    Experiment

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • Computer Science(all)

    Cite this

    Zungeru, A. M., Ang, L. M., & Seng, K. P. (2012). Performance of Termite-hill routing algorithm on sink mobility in wireless sensor networks. In Advances in Swarm Intelligence - Third International Conference, ICSI 2012, Proceedings (PART 2 ed., Vol. 7332 LNCS, pp. 334-343). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7332 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-31020-1_39
    Zungeru, Adamu Murtala ; Ang, Li Minn ; Seng, Kah Phooi. / Performance of Termite-hill routing algorithm on sink mobility in wireless sensor networks. Advances in Swarm Intelligence - Third International Conference, ICSI 2012, Proceedings. Vol. 7332 LNCS PART 2. ed. 2012. pp. 334-343 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
    @inproceedings{862787208b3a40ce846fa9cf9e67ee85,
    title = "Performance of Termite-hill routing algorithm on sink mobility in wireless sensor networks",
    abstract = "High efficient and energy-aware routing is an important issue for the design of resource constrained environments like Wireless Sensor Networks (WSNs). Many protocols have been developed for WSN that try to overcome the constraints that characterized this type of networks. Termite based routing protocols can add a significant contribution to assist in the maximization of the network lifetime without performance degradation. But this is only possible by means of an adaptable and balanced algorithm that takes into account the main constraints of WSN. This paper presents a biological inspired self-organized routing protocol for WSN which is based on termite colony optimization metaheuristic termed Termite-hill. The main objective of the proposed algorithm is to efficiently relay all the traffic destined for the sink, and also balance the network energy. The results of our extensive experiments on Routing Modeling Application Simulation Environment (RMASE) demonstrated that with sink mobility, our proposed routing algorithm was able to balance the network traffic load and prolong the network lifetime without performance degradation.",
    author = "Zungeru, {Adamu Murtala} and Ang, {Li Minn} and Seng, {Kah Phooi}",
    year = "2012",
    doi = "10.1007/978-3-642-31020-1_39",
    language = "English",
    isbn = "9783642310195",
    volume = "7332 LNCS",
    series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
    number = "PART 2",
    pages = "334--343",
    booktitle = "Advances in Swarm Intelligence - Third International Conference, ICSI 2012, Proceedings",
    edition = "PART 2",

    }

    Zungeru, AM, Ang, LM & Seng, KP 2012, Performance of Termite-hill routing algorithm on sink mobility in wireless sensor networks. in Advances in Swarm Intelligence - Third International Conference, ICSI 2012, Proceedings. PART 2 edn, vol. 7332 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 7332 LNCS, pp. 334-343, 3rd International Conference on Swarm Intelligence, ICSI 2012, Shenzhen, China, 6/17/12. https://doi.org/10.1007/978-3-642-31020-1_39

    Performance of Termite-hill routing algorithm on sink mobility in wireless sensor networks. / Zungeru, Adamu Murtala; Ang, Li Minn; Seng, Kah Phooi.

    Advances in Swarm Intelligence - Third International Conference, ICSI 2012, Proceedings. Vol. 7332 LNCS PART 2. ed. 2012. p. 334-343 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7332 LNCS, No. PART 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    TY - GEN

    T1 - Performance of Termite-hill routing algorithm on sink mobility in wireless sensor networks

    AU - Zungeru, Adamu Murtala

    AU - Ang, Li Minn

    AU - Seng, Kah Phooi

    PY - 2012

    Y1 - 2012

    N2 - High efficient and energy-aware routing is an important issue for the design of resource constrained environments like Wireless Sensor Networks (WSNs). Many protocols have been developed for WSN that try to overcome the constraints that characterized this type of networks. Termite based routing protocols can add a significant contribution to assist in the maximization of the network lifetime without performance degradation. But this is only possible by means of an adaptable and balanced algorithm that takes into account the main constraints of WSN. This paper presents a biological inspired self-organized routing protocol for WSN which is based on termite colony optimization metaheuristic termed Termite-hill. The main objective of the proposed algorithm is to efficiently relay all the traffic destined for the sink, and also balance the network energy. The results of our extensive experiments on Routing Modeling Application Simulation Environment (RMASE) demonstrated that with sink mobility, our proposed routing algorithm was able to balance the network traffic load and prolong the network lifetime without performance degradation.

    AB - High efficient and energy-aware routing is an important issue for the design of resource constrained environments like Wireless Sensor Networks (WSNs). Many protocols have been developed for WSN that try to overcome the constraints that characterized this type of networks. Termite based routing protocols can add a significant contribution to assist in the maximization of the network lifetime without performance degradation. But this is only possible by means of an adaptable and balanced algorithm that takes into account the main constraints of WSN. This paper presents a biological inspired self-organized routing protocol for WSN which is based on termite colony optimization metaheuristic termed Termite-hill. The main objective of the proposed algorithm is to efficiently relay all the traffic destined for the sink, and also balance the network energy. The results of our extensive experiments on Routing Modeling Application Simulation Environment (RMASE) demonstrated that with sink mobility, our proposed routing algorithm was able to balance the network traffic load and prolong the network lifetime without performance degradation.

    UR - http://www.scopus.com/inward/record.url?scp=84875112188&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84875112188&partnerID=8YFLogxK

    U2 - 10.1007/978-3-642-31020-1_39

    DO - 10.1007/978-3-642-31020-1_39

    M3 - Conference contribution

    SN - 9783642310195

    VL - 7332 LNCS

    T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    SP - 334

    EP - 343

    BT - Advances in Swarm Intelligence - Third International Conference, ICSI 2012, Proceedings

    ER -

    Zungeru AM, Ang LM, Seng KP. Performance of Termite-hill routing algorithm on sink mobility in wireless sensor networks. In Advances in Swarm Intelligence - Third International Conference, ICSI 2012, Proceedings. PART 2 ed. Vol. 7332 LNCS. 2012. p. 334-343. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-642-31020-1_39